Artificial intelligence has changed almost every aspect of software development and cybersecurity. But perhaps one of the most profound changes is happening in an area that has traditionally received less strategic attention: How organizations manage software vulnerabilities. The basic vulnerability-management model has remained relatively consistent for years. Scan software, identify CVEs, assign severity scores, prioritize the findings, and send them to developers for remediation. That approach was never a perfect representation of risk. In the age of AI, however, its limitations are...

Source: The New Stack